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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 25 1 Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang ... Keidar, Daphna; Opedal, Andreas; Jin, Zhijing. - : arXiv, 2022 BASE Show details 2 Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Hou, Yifan; Sachan, Mrinmaya. - : Underline Science Inc., 2022 BASE Show details 3 Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ... Hou, Yifan; Sachan, Mrinmaya. - : arXiv, 2021 BASE Show details 4 Scaling Within Document Coreference to Long Texts ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; McCallum, Andrew; Monath, Nicholas. - : Underline Science Inc., 2021 BASE Show details 5 Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Hou, Yifan; Sachan, Mrinmaya. - : Underline Science Inc., 2021 BASE Show details 6 Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Hou, Yifan; Sachan, Mrinmaya. - : Underline Science Inc., 2021 BASE Show details 7 Differentiable Subset Pruning of Transformer Heads ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cotterell, Ryan; Li, Jiaoda. - : Underline Science Inc., 2021 BASE Show details 8 How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chauhan, Geeticka; Jin, Zhijing; Mihalcea, Rada; Sachan, Mrinmaya; Tse, Brian. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.273 Abstract: Recent years have seen many breakthroughs in natural language processing (NLP), transitioning it from a mostly theoretical field to one with vast real-world applications. Noting precursor applications in other machine learning and AI techniques with pervasive societal impact, we anticipate the rising importance of developing NLP technologies for social good. Inspired by theories in moral philosophy and global priority research, we aim to promote a future guideline for social good in the context of NLP. We lay the foundations via \textit{moral philosophy}'s definition of social good, and propose a framework to provide a categorization of NLP tasks on the basis of real-world impact, along with metrics to calculate the expected social impact of NLP technology. Based on these fundamental frameworks, we adopt the methodology of global priority research to identify priority causes for NLP research, and use thought experiments to illustrate ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/26364-how-good-is-nlpquestion-a-sober-look-at-nlp-tasks-through-the-lens-of-social-impact https://dx.doi.org/10.48448/cvg4-8q33 BASE Hide details 9 How Good Is NLP?A Sober Look at NLP Tasks through the Lens of Social Impact ... Jin, Zhijing; Chauhan, Geeticka; Tse, Brian. - : ETH Zurich, 2021 BASE Show details 10 “Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding ... Brahman, Faeze; Huang, Meng; Tafjord, Oyvind. - : ETH Zurich, 2021 BASE Show details 11 Scaling Within Document Coreference to Long Texts ... Thirukovalluru, Raghuveer; Monath, Nicholas; Shridhar, Kumar. - : ETH Zurich, 2021 BASE Show details 12 Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Atzeni, Mattia; Campbell, Murray. - : Underline Science Inc., 2021 BASE Show details 13 Differentiable subset pruning of transformer heads ... Li, Jiaoda; Cotterell, Ryan; Sachan, Mrinmaya. - : ETH Zurich, 2021 BASE Show details 14 Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations ... Murugesan, Keerthiram; Atzeni, Mattia; Kapanipathi, Pavan. - : ETH Zurich, 2021 BASE Show details 15 Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP Vaidhya, Tejas; Sachan, Mrinmaya; von Kügelgen, Julius... In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) BASE Show details 16 How Good Is NLP?A Sober Look at NLP Tasks through the Lens of Social Impact Tse, Brian; Jin, Zhijing; Mihalcea, Rada... In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021) BASE Show details 17 Differentiable subset pruning of transformer heads Li, Jiaoda; Cotterell, Ryan; Sachan, Mrinmaya In: Transactions of the Association for Computational Linguistics, 9 (2021) BASE Show details 18 Scaling Within Document Coreference to Long Texts Monath, Nicholas; Shridhar, Kumar; Zaheer, Manzil... In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021) BASE Show details 19 “Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding Zhao, Chao; Sachan, Mrinmaya; Tafjord, Oyvind... In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021) BASE Show details 20 Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations Sachan, Mrinmaya; Campbell, Murray; Kapanipathi, Pavan... In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021) BASE Show details Page: 1 2

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